Title Construction of a ceRNA coregulatory network and screening of hub biomarkers for salt-sensitive hypertension
Authors Zhang, Ling
Qi, Han
Liu, Zheng
Peng, Wen-Juan
Cao, Han
Guo, Chun-Yue
Sun, Yan-Yan
Pao, Christine
Xiang, Yu-Tao
Affiliation Capital Med Univ, Beijing Municipal Key Lab Clin Epidemiol, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Beijing, Peoples R China
Capital Med Univ, Beijing Anding Hosp, Sch Mental Hlth, Natl Clin Res Ctr Mental Disorders,Beijing Key La, Beijing, Peoples R China
Capital Med Univ, Beijing Anding Hosp, Sch Mental Hlth, Adv Innovat Ctr Human Brain Protect, Beijing, Peoples R China
Peking Univ, Sci Dept, Peoples Hosp, Beijing, Peoples R China
Univ North Carolina Chapel Hill, Dept Psychiat, Chapel Hill, NC USA
Univ Macau, Inst Translat Med, Fac Hlth Sci, Unit Psychiat, Macau, Peoples R China
Keywords COMPETING ENDOGENOUS RNA
BLOOD-PRESSURE
NONCODING RNA
SODIUM SENSITIVITY
MESSENGER-RNA
EXPRESSION
SUSCEPTIBILITY
HERITABILITY
POLYMORPHISM
VARIABILITY
Issue Date May-2020
Publisher JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
Abstract Salt-sensitive hypertension (SSH) is an independent risk factor for cardiovascular disease. The regulation of long non-coding RNAs, mRNAs and competing endogenous RNAs (ceRNAs) in the pathogenesis of SSH is uncertain. An RNA microarray was performed to discover SSH-associated differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs), and 296 DElncRNAs and 44 DEmRNAs were identified, and 247 DElncRNAs and 44 DEmRNAs among these RNAs were included in the coexpression network. The coregulatory network included 23 ceRNA loops, and six hub RNAs (lnc-ILK-8:1, lnc-OTX1-7:1, lnc-RCAN1-6:1, GIMAP8, SUV420H1 and PIGV) were identified for further population validation. The ceRNA correlations among lnc-OTX1-7:1, hsa-miR-361-5p and GIMAP8 were confirmed in SSH and SRH patients. A larger-sample validation confirmed that GIMAP8, SUV420H1 and PIGV were differentially expressed between the SSH and SRH groups. In addition, SUV420H1 was included in the SSH screening model, and the area under the curve of the model was 0.720 (95% CI: 0.624-0.816). Our study explored the transcriptome profiles of SSH and constructed a ceRNA network to help elucidate the mechanism of SSH. In addition, SUV420H1 was identified as a hub element that participates in SSH transcriptional regulation and as a potential biomarker for the early diagnosis of SSH.
URI http://hdl.handle.net/20.500.11897/606864
ISSN 1582-1838
DOI 10.1111/jcmm.15285
Indexed SCI(E)
Appears in Collections: 人民医院

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